A represents Exceptional work a grade of "A" will be assigned for outstanding work only.If - on the second attempt - you do not pass the class with a grade of B or better (not B- but B) you will be disqualified. You must repeat the class if you wish to stay in the program. If the grade is less than B (B- or lower) after the first attempt you will be placed on administrative probation. B represents Good work a grade of "B" clearly meets the standards for graduate or undergraduate (for BS-ISDA) level work For core courses in the MLIS program (not MARA, Informatics, or BS-ISDA) - INFO 200, INFO 202, INFO 204 - the iSchool requires that students earn a B in the course.C represents Adequate work a grade of "C" counts for credit for the course.In order to provide consistent guidelines for assessment for graduate level work in the School, these terms are applied to letter grades: The standard SJSU School of Information Grading Scale is utilized for all iSchool courses: 97 to 100 It is the students' responsibility to submit and maintain the electronic version of their works until the final grade is issued. Tutorial, assistance, and resources for improving academic writing skills are available at the Writing Resources Center. The presentation recordings may be used later for INFO289 e-portfolio as competency evidence or for a job interview as a demo of skills.Īll written work should be professionally prepared following the APA editorial style and established conventions of academic writing, free of grammatical errors and spelling mistakes. Students are encouraged (but not required) to record presentations of the individual mining project in Zoom. Others will participate by responding.ĭetailed instruction on each stage of the individual mining project will be provided in the Canvas class site, along with other course materials. Reference and article PDF should be included when applicable. The lead post may be a critical review of a scholarly article, analysis of a related project, or reflection on personal experience/observation. In each session, every member of a group will create/moderate one thread in the group's forum, by making a lead post. The first session is on the topic "Web/text/data mining in the library and information science fields", and the second session on the topic "Ethical/social issues related to big data and data mining". The group discussions are mainly to share findings and to comment on related issues. Building | testing a data model (NN/Bayesian classifier)Īt the start of the semester, students will be randomly assigned into groups (of optimal size five) to conduct two sessions of online discussion on given topics in their group forums.Document clustering | Constructing random set for model training.Web crawling and text extraction | Preprocessing of texts.Reading/writing text file | Correlation analysis.RapidMiner installation/configuration | Excel data import/exporting.Individual mining project (10 stages, 75% in total) - CLO #4, #5.Quizzes embedded in assigned textbook chapters (20%) - CLO #1, #2, #3.Group online discussion (two sessions, 2% each) - CLO #1, #2.Student time outside of class: In any seven-day period, a student is expected to be academically engaged through submitting an academic assignment taking an exam or an interactive tutorial, or computer-assisted instruction building websites, blogs, databases, social media presentations attending a study group contributing to an academic online discussion writing papers reading articles conducting research engaging in small group work.Īssignments Students' performance in this class will be evaluated on the basis of the following assignments, Instructional time may include but is not limited to: Working on posted modules or lessons prepared by the instructor discussion forum interactions with the instructor and/or other students making presentations and getting feedback from the instructor attending office hours or other synchronous sessions with the instructor. Other course structures will have equivalent workload expectations as described in the syllabus. Success in this course is based on the expectation that students will spend, for each unit of credit, a minimum of forty-five hours over the length of the course (normally 3 hours per unit per week with 1 of the hours used for lecture) for instruction or preparation/studying or course related activities including but not limited to internships, labs, clinical practica.
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